基于变循环预估寿命均衡的无线传感网数据采集算法  

Variable Cycle Predictive Lifespan Balance-based Data Gathering Algorithm for Wireless Sensor Networks

作　　者：王栋 WANG Dong(NR Electric Co.,Ltd.,Nanjing 211100,China)

机构地区：[1]南京南瑞继保电气有限公司,江苏南京211100

出　　处：《电工技术》2024年第13期179-182,共4页Electric Engineering

摘　　要：智能电网等大型工业系统数字化转型需求逐年提升,相应的无线传感器近年来被广泛应用。然而,无线传感器的自主续航十分有限,面向对应自组网的能效优化因可显著提升其生命周期而意义重大。为此提出一种基于变循环预估寿命均衡的无线传感网(WirelessSensorNetworks,WSN)数据采集算法,首先构建面向指定区域远程感知需求的WSN系统模型,然后设计基于变循环预估寿命均衡的高能效数据采集算法,最后通过仿真分析证明所提出的算法可通过拓扑重构有效均衡节点剩余能量,进而优化网络能效,显著提升无线传感网生命周期。The demand for digital transformation of large-scale industrial systems such as smart grids is increasing year by year,and the corresponding wireless sensors have been widely deployed.However,the autonomy of wireless sensors is very limited,and energy-efficiency optimization for corresponding self-organized networks is of great significance because it can significantly improve the lifetime.To this end,a variable cycle predictive lifespan balance-based data gathering algorithm for wireless sensor networks(WSN)is proposed.First the system model of WSN for the remote sensing demand in a specified area is established,and then the energy-efficient data gathering algorithm based on variable cycle predictive lifespan balance is proposed.Finally the proposed algorithm is proved by simulation analysis to be able to effectively balance the residual energy of nodes through topology reconstruction,optimize the network's energy efficiency,and significantly improve the lifetime of WSN.

关 键 词：数据采集 能效优化 模糊隶属 无线传感网 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]